Python for Data Analysis

1 Unit · Graduate

This course provides an extensive overview of Python programming language with emphasis on its capabilities to analyze data. Students will develop skills to use Python language to perform data science tasks including importing data from various sources, exploratory data analysis, visualization, data preprocessing, descriptive analytics, and predictive modeling. Python-based, open-source development frameworks, including the Scikit-Learn, Pandas, NumPy, and Matplotlib libraries, are exposed to students. This course takes a hands-on approach to prepare students for applying appropriate Python functions to analyze structured and unstructured data. The course will conclude with students completing a data science project on real-world dataset where students apply data analytics and machine learning techniques.